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ImportDataset - Amazon Lookout for Equipment
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Amazon Lookout for Equipment is no longer open to new customers. Existing customers can continue to use the service as normal. For capabilities similar to Amazon Lookout for Equipment see our blog post.

Amazon Lookout for Equipment is no longer open to new customers. Existing customers can continue to use the service as normal. For capabilities similar to Amazon Lookout for Equipment see our blog post.

ImportDataset

Imports a dataset.

Request Syntax

{ "ClientToken": "string", "DatasetName": "string", "ServerSideKmsKeyId": "string", "SourceDatasetArn": "string", "Tags": [ { "Key": "string", "Value": "string" } ] }

Request Parameters

The request accepts the following data in JSON format.

ClientToken

A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 256.

Pattern: \p{ASCII}{1,256}

Required: Yes

DatasetName

The name of the machine learning dataset to be created. If the dataset already exists, Amazon Lookout for Equipment overwrites the existing dataset. If you don't specify this field, it is filled with the name of the source dataset.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 200.

Pattern: ^[0-9a-zA-Z_-]{1,200}$

Required: No

ServerSideKmsKeyId

Provides the identifier of the AWS KMS key key used to encrypt model data by Amazon Lookout for Equipment.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 2048.

Pattern: ^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$

Required: No

SourceDatasetArn

The Amazon Resource Name (ARN) of the dataset to import.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:dataset\/[0-9a-zA-Z_-]{1,200}\/.+

Required: Yes

Tags

Any tags associated with the dataset to be created.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 200 items.

Required: No

Response Syntax

{ "DatasetArn": "string", "DatasetName": "string", "JobId": "string", "Status": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

DatasetArn

The Amazon Resource Name (ARN) of the dataset that was imported.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:dataset\/[0-9a-zA-Z_-]{1,200}\/.+

DatasetName

The name of the created machine learning dataset.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 200.

Pattern: ^[0-9a-zA-Z_-]{1,200}$

JobId

A unique identifier for the job of importing the dataset.

Type: String

Length Constraints: Maximum length of 32.

Pattern: [A-Fa-f0-9]{0,32}

Status

The status of the ImportDataset operation.

Type: String

Valid Values: CREATED | INGESTION_IN_PROGRESS | ACTIVE | IMPORT_IN_PROGRESS

Errors

AccessDeniedException

The request could not be completed because you do not have access to the resource.

HTTP Status Code: 400

ConflictException

The request could not be completed due to a conflict with the current state of the target resource.

HTTP Status Code: 400

InternalServerException

Processing of the request has failed because of an unknown error, exception or failure.

HTTP Status Code: 500

ResourceNotFoundException

The resource requested could not be found. Verify the resource ID and retry your request.

HTTP Status Code: 400

ServiceQuotaExceededException

Resource limitations have been exceeded.

HTTP Status Code: 400

ThrottlingException

The request was denied due to request throttling.

HTTP Status Code: 400

ValidationException

The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related AWS service that's being utilized.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

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